Description: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3e by Aurelien Geron This best-selling book uses concrete examples, minimal theory, and production-ready Python frameworks--scikit-learn, Keras, and TensorFlow--to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This best-selling book uses concrete examples, minimal theory, and production-ready Python frameworks--scikit-learn, Keras, and TensorFlow--to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.With this updated third edition, author Aurelien Geron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what youve learned. Programming experience is all you need to get started.Use scikit-learn to track an example machine learning project end to endExplore several models, including support vector machines, decision trees, random forests, and ensemble methodsExploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detectionDive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, and transformersUse TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learningTrain neural nets using multiple GPUs and deploy them at scale using Googles Vertex AI Author Biography Aurelien Geron is a Machine Learning consultant. A former Googler, he led YouTubes video classification team from 2013 to 2016. He was also a founder and CTO of Wifirst from 2002 to 2012, a leading Wireless ISP in France, and a founder and CTO of Polyconseil in 2001, a telecom consulting firm. Before this he worked as an engineer in a variety of domains: finance (JP Morgan and Societe Generale), defense (Canadas DOD), and healthcare (blood transfusion). He published a few technical books (on C++, WiFi, and Internet architectures), and was a Computer Science lecturer in a French engineering school. A few fun facts: he taught his 3 children to count in binary with their fingers (up to 1023), he studied microbiology and evolutionary genetics before going into software engineering, and his parachute didnt open on the 2nd jump. Details ISBN1098125975 Short Title Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Pages 850 Language English Year 2022 Edition 3rd ISBN-10 1098125975 ISBN-13 9781098125974 Format Paperback Subtitle Concepts, Tools, and Techniques to Build Intelligent Systems DEWEY 006.31 Publication Date 2022-10-31 AU Release Date 2022-10-31 NZ Release Date 2022-10-31 UK Release Date 2022-10-31 Place of Publication Sebastopol Country of Publication United States US Release Date 2022-10-31 Publisher OReilly Media Imprint OReilly Media Author Aurelien Geron Edition Description 3rd Revised edition Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:138985029;
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Book Title: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlo
